6+ years
Engineering experience
Across Target, GE Aerospace, Securian, U.S. Bank, and independent delivery.
Platform architecture · applied AI · cloud infrastructure · workflow automation
AI Systems & Platform Engineer
Turn AI and data capabilities into secure, deployable systems that hold up in production.
I build the production systems around AI and data, including applications, APIs, workflows, cloud infrastructure, security, evaluation, observability, and operational handoff.
Best fit when software, cloud infrastructure, data, automation, and AI need to operate as one dependable system.
Open to select full-time AI systems and platform roles, architecture and engineering partnerships, and consulting engagements where software, cloud infrastructure, data, automation, and AI need to operate as one dependable system.
Career and research highlights
Approximately 40%
Manual effort reduced
Documented result from Python workflow automation at Securian.
50+ repositories
Modernized at Target
Dependency upgrades, build-tool migration, and configuration standardization.
Peer-reviewed + accepted
Research record
A 2018 JGR article and an IEEE LA-CCI 2026 accepted conference paper.
Selected work
Systems with concrete delivery evidence.
Production ownership leads, followed by a bounded pilot and a quantified technical prototype. Each project keeps its current stage visible.
Public Production ProofProduction
VIFG Nonprofit Platform
Production platform and delivery stack supporting a nonprofit serving the visually impaired community.
Current result
Production site serving VIFG nonprofit since 2020, deployed on AWS Lightsail with automated CI/CD and TLS termination
PilotBeta Pilot
DealerFlow
Pilot platform that automates inventory alerts, buyer matching, and seller workflows for wholesale vehicle activity.
Current result
Beta pilot with working mobile workflows for buyer matching, seller inventory management, and real-time notification delivery
Prototype / Academic ProjectApplied dashboard prototype
WeatherForge
A collaborative University of St. Thomas SEIS 745 project in which David Braun served as lead developer and primary implementer, turning large NOAA weather datasets into county-level risk views and decision-support reporting.
Current result
I led implementation of the code that curated 55,384 cleaned Minnesota storm-event records and 9,008,748 station-day observations into reusable Parquet layers and a Python Shiny + Plotly dashboard spanning all 87 Minnesota counties.
Three ways to engage
One engineering practice, three useful entry points.
Employers
Engineering roles
See the enterprise, platform, security, software, and research experience behind the work.
View ExperienceClients
Consulting engagements
Review practical options for architecture, scoped systems, automation, and platform stewardship.
View ServicesResearchers
Research collaboration
Explore current information-retrieval work and earlier peer-reviewed space-physics research.
View ResearchTechnical capabilities
The connected layers around AI and data.
I work across the boundaries needed to turn a useful capability into a system people can deploy, operate, evaluate, and maintain.
Applied AI, retrieval, and data
Applications and APIs
Workflow and orchestration
Cloud infrastructure and delivery
Security, evaluation, and observability
Operations and human handoff
Next step
Have a role, project, or research question to discuss?
Share the context and what a useful outcome would look like. I will respond with the most relevant next step.